12 Steps to AGI
The Alberta Plan is a new paper by the team from DeepMind Alberta that details their plans and core focuses over the next 5-10 years. While it puts a focus on Reinforcement Learning (RL) and touches on many areas that are already being explored, it takes a different perspective and focuses on a slightly different problem, which shifts how some of the mentioned problems may be tackled. The plan primarily focuses on continual learning in a vastly complex world where the agent needs to learn, and learn to learn (meta-learning) to achieve it's goals.
Outline
0:00 - Intro
1:58 - Core problems
5:33 - Alberta Plan tenets
11:33 - The Common Model
13:55 - 12 step overview
15:57 - Steps 1-6
30:14 - Steps 7-12
39:38 - Intelligence amplification / Singularity
41:14 - Thoughts
Social Media
YouTube - / edanmeyer
Twitter - / ejmejm1
Sources:
Alberta Plan Paper - https://arxiv.org/abs/2208.11173
CBP Paper - https://arxiv.org/abs/2108.06325
My video on CBP - • Learning Forever, Backprop Is Insuffi...
STOMP Paper - https://arxiv.org/pdf/2202.03466.pdf